In this lesson we will cover classification models, starting with an introduction to logistic regression.

We will learn how to assess the accuracy and performance of a classification model using confusion matrices, ROC curves, and other metrics.

We will also learn how to fit logistic regression models with the tidymodels package.



Lecture Slides





Next Steps

Please head over to the R tutorial where you will learn how to fit logistic regression models with tidymodels.